Remote AWS AI Infrastructure Engineer for Trainium/LLMs

Experis Technology Group; New Jersey; Remote; USD 62.000 - 69.000; Vollzeit

Benefits dieser Stelle

Medical and Prescription Drug Plans

Dental Plan

Vision Plan

Health Savings Account

Health Flexible Spending Account

Dependent Care Flexible Spending</name

Zusammenfassung

Experis Technology Group represents a technology organization seeking an AWS AI Infrastructure Engineer to design scalable AI/ML infrastructure on AWS for distributed model training and inference. The role emphasizes hands-on experience with AWS Trainium/Inferentia, EC2 Trn instances, and the Neuron SDK, along with strong knowledge of LLMs and distributed training concepts.

The engineer will deploy workloads using SageMaker and Kubernetes (EKS), optimize performance, and help migrate GPU

Qualifikationen

• 5+ years in Cloud/Data/AI Infrastructure with large-scale AWS workloads.
• Hands-on AWS Trainium/Inferentia, EC2 Trn, and Neuron SDK experience.
• Strong knowledge of LLMs and distributed training concepts.
• Experience with Kubernetes (EKS), Docker, Python, PyTorch.

Aufgaben

• Design, build, and support scalable AI/ML infrastructure on AWS for distributed training and inference.
• Implement and operate AWS AI accelerator workflows using Trainium/Inferentia, EC2 Trn and Neuron SDK.
• Deploy and manage AI workloads using SageMaker and Kubernetes (EKS).
• Optimize AI performance through benchmarking, profiling, and tuning, including migration to AWS accelerators.
• Collaborate on architecture for LLMs and scalable distributed training pipelines.

Kenntnisse

Cloud computing

Distributed training

LLM understanding

Performance optimization

Tools

Kubernetes (EKS)

Docker

Python

PyTorch

AWS Trainium

AWS Inferentia

AWS Neuron SDK

SageMaker

Jobbeschreibung

Experis Technology Group represents a technology organization seeking an AWS AI Infrastructure Engineer to design scalable AI/ML infrastructure on AWS for distributed model training and inference. The role emphasizes hands-on experience with AWS Trainium/Inferentia, EC2 Trn instances, and the Neuron SDK, along with strong knowledge of LLMs and distributed training concepts.

The engineer will deploy workloads using SageMaker and Kubernetes (EKS), optimize performance, and help migrate GPU